America Rebuilds Its Industrial Base. Emanate Builds The Growth Engine

Bay Area startup Emanate is transforming industrial sales with an AI platform that automates complex tasks, freeing sales representatives to focus on customers.

Doing sales for an industrial company is a tough job. In addition to all of the usual roles a sales representative has to play – outbound outreach, inbound inquiry management, spending time with customers, the usual administrative duties – they also need to have deep expertise in the materials or services they are selling, be up to minute on the latest tariffs and regulations, and calculate complex numbers in order to provide price quotes. Emanate, a startup based in the Bay Area, is aiming to change that, by providing an AI platform that handles much of the work done by these reps, freeing them up to focus on relationships and communication with customers.

Industrial materials and distribution companies, a five trillion dollar market, has been seen as slow or behind the times, but founder Kiara Nirghin believes that this technology will lead to a great leveling across industries. "Now the companies that have historically been considered slow to adopt things now just [have] equal footing to every net new thing," she says, "And that is some of the largest leveling that will ever exist. I actually think that you'll never consider these companies to be slow-moving ever, because the things that have held them back — like engineering capacity or being able to scale the commercial side — won't exist anymore."

Nirghin's thesis has found support from powerful VC's, including Andreessen Horowitz. "Most AI in the enterprise is sold for cost-cutting. Emanate stood out by building AI that drives top line growth, and focusing on a massive but overlooked industrial materials market that is the backbone of the modern economy," says Jonathan Lai, General Partner at Andreessen Horowitz, one of the startup's first investors.

A newly closed oversubscribed round also includes funding from M13, alongside firms led by a former Khosla Ventures GP and the first investor in Groq. Of course, there are plenty of AI-powered sales tools in the market already, but Nirghin points out that they're not equipped to handle the level of complexity that industrial companies often deal with. "In the industry, the products are deeply complex," she says.

"You have to understand technical specs, grades, and processing requirements. These are actually genuinely mathematical decisions in how materials are priced, processed, or how they get into customers' hands. No horizontal AI can actually do this."

Emanate also focused on building a harness around its models, which is built for industrial specifics: multi-week quoting cycles, mill-grade specifications, remnant inventory tracking. "Our agent harnesses are mathematical in nature. The agent computes against the customer's live system data, checks itself, checks itself again, and humans supervise the work." says Nirghin.

"We make sure that there's a self-learning loop involved. With a really good agent harness, I've never seen hallucinations.